32 finite-element-analysis research jobs at The University of Queensland in Australia
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, data management, data analysis, and reporting. Experience using statistical/programming tools or packages, such as SPSS, Stata and/or R. Excellent interpersonal skills and proven ability to establish
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vary in duration and responsibility and involve skills in public health research methods. Typical tasks may include: Conducting literature reviews and background research Assisting with data analysis and
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stages of the research process from recruitment and data collection to research administration and analysis. The successful candidate will play a key role in coordinating assessments, facilitating
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characterisation tests and in the design, development, and deployment of field instruments. Beyond testing and fieldwork, the role demands advanced data analysis skills to interpret and utilise results effectively
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medicine, funded by a major pharmaceutical company. Seeking an outcome driven scientist who wants to generate real impact. Experience in molecular biology and the characterisation and analysis of peptides is
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, psychometric validation, ethnographic methods, and interpretivist qualitative analysis. The successful candidate may be required to complete a number of pre-employment checks, including: right to work in
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favourably. Extensive expertise or strong interest in microbial biotechnology, particularly fermentation. Experience in bioinformatics, multi-omics data analysis (e.g., genomics, metagenomics), or systems
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, metabolomics, proteomics or developmental origins of human disease. Demonstrable experience and expertise in bioinformatics, statistics and analysis of large datasets, for example metagenomics, proteomics
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programming and data analysis. Interest in developing methods, algorithms or software. Evidence of publications in high-quality peer-reviewed journals. Excellent communication skills. Experience
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to carry out research in the field of plant breeding, phenotyping, crop modelling, GWAS and genome analysis, particularly in cereals Demonstrated capacity to manage and analyse large data sets. Track record